基因组的某些区域天生就以高速率转录成蛋白质，而其它区域则基本上保持沉默。
Some regions of the genome are naturally transcribed into proteins at a high rate, whereas other regions are essentially silent.
但是，这项工作引人入胜的方面在于：迄今为止，大多数研究人员都把研究的焦点聚集在基因组中负责蛋白质编码的区域。
But an intriguing facet of this work is that, until now, most researchers had focused their hunt for differences on the protein-coding stretches of the genome.
自动化dna分析在诸如染色体作图，基因组测序以及DNA、RNA与蛋白质互作这类领域的应用潜力巨大。
Automated DNA synthesis has been essential in such fields as chromosome mapping, genomic sequencing and the study of interactions between DNA, RNA and proteins.
自从人类基因组计划完成后，令生物学家迷惑不解的是：动物(线虫、苍蝇和人类)好像都有相同数目的组成蛋白质的基因——大概20,000个。
Ever since the human-genome project was completed, it has puzzled biologists that animals, be they worms, flies or people, all seem to have about the same number of genes for proteins-around 20, 000.
他们已将蛋白质目录与人类基因组序列对应，每个蛋白质与包括编码基因在内的基因对应。
They have tied their catalog into the human genome sequence, connecting each protein to the gene that contains instructions for making it.
蛋白质X射线结构的目录也为蛋白质结构类型、自然状态下的折叠和域提供了有用信息。有时这被称为结构基因组学。
X-ray structures of catalogs of proteins have also provided useful information on the types of protein structures, folds and domains found in nature; this is sometimes termed structural genomics.
目前，绝大多数的医学研究都在跟踪人类基因组和蛋白质组以寻求答案，但是结果依然还很渺茫，这也许是有充分理由的。
Currently, the vast majority of medical research looks to the human genome and proteome for answers, but those answers remain elusive, and perhaps for good reason.
基因组之后，蛋白质组来了！
除了基因组学、蛋白质组学和代谢组学，科学家还在使用化学基因组学，这是一种逆转标准的药物发现过程的方法。
As well as genomics, proteomics and metabolomics, scientists are also using chemical genomics, an approach that reverses the standard drug discovery process.
蛋白质编码区仅1.5％的基因组入账。
Protein-coding regions accounted for just 1.5% of the genome.
如果基因组是人类细胞部件的清单，那么某些蛋白质是生产管理者，可以依照需要激活和去活化基因。
If the genome is the parts list of the human cell, certain proteins are the production managers, activating and deactivating genes as needed.
这意味着它由一种蛋白质核心颗粒病毒基因组内有它的形式双链脱氧核糖核酸。
Meaning that it consists of a proteinaceous core particle that has the viral genome inside of it in the form of double stranded DNA.
在本文中，我们提出了一个新的方法，在基因组中确定进化上保守的蛋白质编码序列。
In this paper, we present a novel approach to identifying evolutionarily conserved protein-coding sequences in genomes.
方法分析其基因组片段和编码的蛋白质与表型变异相比较来推断发生变异的原因。
Method: analyse its genome segment and its coding protein, then compare with its changing of surface type for infer the reason of changing.
介绍了关于完全基因组及蛋白质序列的测度表示。
The notion of measure representation of complete genomes and protein sequences is introduced.
在此我们提出用IFS模型及递归的IFS (RIFS)模型来拟合完全基因组与蛋白质序列的测度表示。
The IFS model and recurrent IFS (RIFS) model are proposed to simulate the measure representation of complete genomes and protein sequences.
生物序列分析的主要研究内容包括序列比对、蛋白质结构预测、基因组序列分析等。
The biological sequence analysis research content mainly includes the sequence alignment, the protein structure prediction, and the genome sequence analysis etc.
基因组计划所产生的大量蛋白质序列迫切需要从理论上预测跨膜螺旋区段。
Increasing protein sequences from the genome project require theoretical methods to predict transmembrane helical segments (TMHs).
对小鼠PS1BP蛋白质一级结构的特点进行生物信息学分析，并确定小鼠PS1BP基因组DNA的结构特点。
The characteristics of mouse PS1BP protein primary structure were predicted by online software. Finally the genomic DNA structure of mouse PS1BP was deduced and compared.
蛋白质组学是对由一个基因组，或一个细胞、组织表达的所有蛋白质视为一个整体进行研究，是后基因时代的生命科学研究的重心。
Proteomics is the integrated study of total expressed proteins by genome, cells or tissue, and it is the core of the research on life science in the post-genome era.
蛋白质组学是在后基因组时代出现的一个新的研究领域，它是对机体、组织或细胞的全部蛋白质的表达和功能模式进行研究。
Proteomics is a new research field appeared in post genome era, which studies all the protein expressions and function models of organism, tissues or cells.
植物蛋白质的亚细胞定位是功能基因组学的重要内容。
Protein subcellular localization is one of the key questions for functional genomics.
黄化质体也有能力合成质体基因组所编码的蛋白质。
Etioplasts have the capacity to synthesize plastome - coded proteins.
基因组和转录组分析无疑将补充现有的蛋白质组和遗传学知识。
Genome and transcriptome analyses will complement the proteome and genetic information available today.
基因组和转录组分析无疑将补充现有的蛋白质组和遗传学知识。
Genome and transcriptome analyses will complement the proteome and genetic information available today.
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